Triple
T20369121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finnish university of applied sciences system |
E496997
|
entity |
| Predicate | bachelorCredits |
P139877
|
FINISHED |
| Object | 210–270 ECTS credits |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 210–270 ECTS credits | Statement: [Finnish university of applied sciences system, bachelorCredits, 210–270 ECTS credits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bachelorCredits Context triple: [Finnish university of applied sciences system, bachelorCredits, 210–270 ECTS credits]
-
A.
coreDegrees
Indicates that one entity holds an academic degree (or degrees) from another entity, typically an educational institution.
-
B.
numberOfCourses
Indicates the quantity of courses associated with a given entity.
-
C.
courseCreditType
Indicates the type or category of academic credit associated with a course.
-
D.
hasRankUponGraduation
Indicates that an entity is assigned a specific rank or standing at the time of its graduation.
-
E.
completionAsAcademicRequirementFor
Indicates that completing one entity is required to fulfill an academic requirement associated with another entity.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6787454a88190ae87d9b3c9b5ad27 |
completed | April 20, 2026, 7:03 p.m. |
| PD | Predicate disambiguation | batch_69e57648be3c81908256838228cabf5c |
completed | April 20, 2026, 12:41 a.m. |
| PDg | Predicate description generation | batch_69e58d7481508190a87c8b88f9df9879 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:26 a.m.